Intelligent lightning interceptor for petrochemical plant area and online grounding resistance measurement method

Abstract

The present application relates to the technical field of resistance measurement, in particular to an intelligent lightning interceptor for a petrochemical plant area and an online grounding resistance measurement method. Based on the environmental complexity in the lightning process and the drainage capacity value of the intelligent lightning interceptor, the injection frequency is corrected to obtain the effective injection frequency value of the number of days with lightning; the current fluctuation in the number of days without lightning is analyzed to correct the injection frequency to obtain the effective injection frequency value of the number of days without lightning; the effective injection frequency values corresponding to the number of days with lightning and the number of days without lightning are combined to obtain the corrected injection frequency; and the online grounding resistance is measured according to the corrected injection frequency. The present application realizes adaptive adjustment of the injection frequency through historical monitoring data, avoids the problem of errors in the measurement of the online grounding resistance using a fixed low-frequency signal, and improves the ability to effectively discharge lightning in the lightning impact moment.

Description

Technical Field

[0001] This invention relates to the field of resistance measurement technology, specifically to an intelligent lightning interceptor and an online grounding resistance measurement method for petrochemical plants. Background Technology

[0002] Petrochemical plant areas are filled with storage tanks, pipelines, and reaction units. The materials stored and processed within (such as crude oil, gasoline, liquefied petroleum gas (LPG), liquefied natural gas (LNG), and olefins) are mostly highly flammable and explosive. Many oil and gas vapors, when mixed with air, form explosive atmospheres with very low minimum ignition energy, typically in the millijoule range. A single ordinary lightning strike is sufficient to ignite them. Due to the production, storage, and processing of large quantities of flammable and explosive substances, petrochemical plants are key areas for lightning protection. A fire or explosion caused by a lightning strike could have catastrophic consequences; leaks of toxic and hazardous substances could severely pollute soil, water sources, and air, causing panic. As typical flammable and explosive sites, the reliability of lightning protection systems in petrochemical plant areas is directly related to production safety.

[0003] Currently, the most common traditional lightning protection measure is passive lightning attraction. Traditional lightning rods attract lightning to themselves and then conduct it to the ground, thus protecting the surrounding area. However, this means that lightning energy is still conducted into the ground network of the petrochemical plant area. The huge lightning current can generate strong electromagnetic induction and ground potential backflash, inducing high voltages in nearby electrical lines and control systems, leading to equipment damage and system malfunctions. Moreover, direct lightning strikes only account for a small portion of lightning disasters; the greater threat comes from the powerful electromagnetic pulse (LEMP) generated by nearby thundercloud discharges, i.e., induced lightning. It can induce overvoltages in any conductor circuit, destroying sensitive distributed control systems, safety instrumented systems, communication systems, etc., leading to production paralysis or even failure of safety interlocks.

[0004] The lightning protection measures employed by intelligent lightning interceptors no longer involve passively attracting lightning, but rather rejecting it. The aim is to intercept lightning outside the protected area or precisely guide it to a specially designed, enhanced, independent lightning strike point. This significantly reduces the risk of lightning current entering the core area of ​​the plant and the grounding network, substantially lowering the probability of induced overvoltage and ground potential backflash at the source. By reducing ground-entry lightning current and electromagnetic pulse intensity, a better electromagnetic environment can be provided for thousands of precision control, measurement, and communication devices in the petrochemical plant, ensuring the stable operation of production control and safety interlocking systems. Given the inherently high safety risks in petrochemical plants, the introduction of intelligent lightning interceptors is a powerful supplement to the shortcomings of traditional lightning protection.

[0005] Intelligent lightning interceptors typically refer to lightning protection devices with monitoring or communication functions. Currently, mainstream online grounding resistance measurement technologies mostly employ the "power frequency injection method" or "pulse injection method." These methods inject a known low-frequency or low-energy pulse signal into the grounding grid, then measure the resulting voltage and calculate the grounding resistance value based on Ohm's law. However, petrochemical plants have extremely harsh electromagnetic environments, filled with high-power motors, frequency converters, high-voltage transmission lines, and various automated control equipment, all of which generate strong power frequency and harmonic electromagnetic fields. Furthermore, since lightning current is a pulse with an extremely wide spectrum, power frequency grounding resistance cannot fully reflect the actual performance of the grounding system under the high-frequency, high-current transient impact of lightning. Therefore, the qualified grounding resistance value measured by existing methods at power frequency underestimates the transient impedance under actual lightning strikes, thus failing to effectively and quickly discharge the lightning current at the moment of impact. Summary of the Invention

[0006] To address the technical problem of low accuracy in measuring grounding resistance values ​​under low-frequency signals, which makes it difficult to effectively discharge lightning strikes, this invention aims to provide an intelligent lightning interceptor and an online grounding resistance measurement method for petrochemical plants. The specific technical solution adopted is as follows: In a first aspect, embodiments of the present invention provide an online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant area, the method comprising: The environmental noise, electric field strength above the petrochemical plant area, and current were obtained from the historical monitoring data of the petrochemical plant area on the days when lightning occurred, respectively. By combining the characteristics of interference peaks and electric field strength in the environmental noise during lightning strikes, the environmental complexity surrounding the lightning strikes is determined. Based on the environmental complexity and the discharge capacity of the intelligent lightning interceptor, the degree of deviation of the injection frequency for the number of days with lightning strikes is determined. By correcting the actual injection frequency based on the degree of deviation of the injection frequency for the number of days with lightning strikes, the effective injection frequency value for the number of days with lightning strikes is obtained. By analyzing the current fluctuations during days without lightning strikes, the actual injection frequency is corrected to obtain the effective injection frequency value for days without lightning strikes. The corrected injection frequency is obtained by combining the effective injection frequency values ​​corresponding to the number of days with and without lightning; the online grounding resistance is then measured based on the corrected injection frequency.

[0007] Furthermore, the determination of the environmental complexity during a lightning strike, by combining the characteristics of interference peaks in the environmental noise and the electric field strength, includes: The degree of interference of the environmental noise is determined by identifying the characteristics of the interference peaks in the environmental noise during a lightning strike; and the environmental complexity during a lightning strike is determined by combining the degree of interference with the electric field strength.

[0008] Furthermore, determining the degree of environmental noise interference based on the characteristics of interference peaks in the environmental noise during a lightning strike includes: Obtain the number of interference peaks and the amplitude of the interference peaks in the environmental noise during the lightning strike process; The difference between the mean amplitude of the interference peak in the environmental noise during each lightning strike and the preset interference threshold is calculated as the interference amplitude difference. The degree of environmental noise interference is determined by combining the frequency of interference peaks and the difference in interference amplitude; wherein the degree of interference is a normalized value.

[0009] Furthermore, determining the environmental complexity surrounding a lightning strike by combining the interference level and the electric field strength includes: The product of the interference level and the electric field strength is normalized, and the normalized result is used as the environmental complexity of the surrounding environment during the lightning strike.

[0010] Furthermore, the degree of deviation in the injection frequency for determining the number of days with lightning strikes based on environmental complexity and the discharge capacity value of the intelligent lightning interceptor includes: Based on environmental complexity and the discharge capacity value of the intelligent lightning interceptor, the discharge effectiveness of the intelligent lightning interceptor is determined; based on the discharge effectiveness, lightning occurrence processes with poor discharge control are screened out; based on the proportion and time interval of the lightning occurrence processes with poor discharge control in the lightning occurrence processes, the degree of injection frequency deviation of the number of days with lightning is determined.

[0011] Furthermore, determining the discharge effectiveness of the intelligent lightning interceptor based on environmental complexity and its discharge capacity value includes: The discharge capacity value of the intelligent lightning interceptor is normalized. The difference between the environmental complexity and the normalized discharge capacity value is calculated, and the difference is subjected to negative correlation normalization mapping to obtain the discharge effectiveness of the intelligent lightning interceptor.

[0012] Further, the determination of the injection frequency deviation degree of the number of days with lightning occurrence based on the proportion and time interval of the lightning occurrence process in the overall lightning occurrence process, including: For the number of days with lightning, a negative correlation mapping is performed on the time interval of the lightning process with poor discharge control within a day to obtain the deviation coefficient; By combining the deviation coefficient and the proportion of lightning-causing processes with poor discharge control, the degree of deviation in the injection frequency of the number of days with lightning is determined; wherein, both the deviation coefficient and the proportion of lightning-causing processes with poor discharge control are positively correlated with the degree of deviation in the injection frequency of the number of days with lightning.

[0013] Furthermore, the analysis of current fluctuations during days without lightning strikes corrects the actual injection frequency to obtain an effective injection frequency value for the days without lightning strikes, including: The effectiveness of current fluctuations during days without lightning is determined by the current amplitude and the slope of the fitted curve corresponding to the current waveform during the number of days without lightning. The current amplitude and the slope of the fitted curve are both negatively correlated with the effectiveness. Using the percentage of effectiveness as a weight, the actual injection frequency is corrected to obtain the effective injection frequency value for the number of days without lightning.

[0014] Furthermore, the modified injection frequency is obtained by combining the effective injection frequency values ​​corresponding to the number of days with lightning and the number of days without lightning, including: The difference between the effective injection frequency values ​​corresponding to the number of days with lightning and the number of days without lightning is calculated, and the difference is negatively correlated to obtain the adaptive adjustment coefficient. By combining the adaptive adjustment coefficient and the preset frequency adjustment coefficient, the optimal adjustment coefficient is obtained; The sum of the effective injection frequency value corresponding to the number of days with lightning and the optimal adjustment coefficient is used as the corrected injection frequency.

[0015] Secondly, a smart lightning interceptor for petrochemical plant areas is provided, the smart lightning interceptor comprising the following modules: The lightning detection module is used to acquire the environmental noise, electric field strength above the petrochemical plant area, and current in the historical monitoring data of the petrochemical plant area on the days when lightning occurred; The first processing module is used to determine the environmental complexity during a lightning strike by combining the characteristics of the interference peaks in the environmental noise and the electric field strength during the lightning strike; based on the environmental complexity and the discharge capacity value of the intelligent lightning interceptor, it determines the degree of deviation of the injection frequency for the number of days with lightning strikes; and corrects the actual injection frequency by the degree of deviation of the injection frequency for the number of days with lightning strikes to obtain the effective injection frequency value for the number of days with lightning strikes. The second processing module is used to analyze the current fluctuations in the number of days without lightning, correct the actual injection frequency, and obtain the effective injection frequency value for the number of days without lightning. The correction measurement module is used to combine the effective injection frequency values ​​corresponding to the number of days with lightning and the number of days without lightning to obtain the corrected injection frequency; and to measure the online grounding resistance based on the corrected injection frequency.

[0016] Thirdly, embodiments of the present invention provide an electronic device, including a memory and a processor, wherein the memory stores executable code, and when the processor executes the executable code, it implements the various possible implementations of the first aspect.

[0017] Fourthly, embodiments of the present invention provide a computer program product comprising: computer program code, which, when executed on a computer, causes the computer to perform the method described in the first aspect or any possible implementation thereof.

[0018] Fifthly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to perform the various possible implementations of the first aspect.

[0019] The embodiments of the present invention have at least the following beneficial effects: This invention proposes an intelligent lightning interceptor and an online grounding resistance measurement method for petrochemical plant areas. The environmental complexity during each lightning strike is determined by analyzing the level of environmental noise interference on days with lightning strikes. Then, the leakage current of the intelligent lightning interceptor during each lightning strike is analyzed to obtain the deviation of the injection frequency during each monitoring period, thus obtaining the effective injection frequency value for days with lightning strikes. The effective injection frequency value for days without lightning strikes is then determined by analyzing the stability of current fluctuations during the injection process. A corrected injection frequency value is then determined based on the effective injection frequency values ​​for both days with and without lightning strikes. In subsequent online grounding resistance measurements, the corrected injection frequency value is used to monitor transient impedance, and the intelligent lightning interceptor is used to discharge lightning current when necessary. This invention achieves adaptive adjustment of the injection frequency based on historical monitoring data, avoiding the error problems that easily occur when using fixed low-frequency signals for online grounding resistance measurement. It improves the ability to effectively discharge lightning at the moment of a lightning strike. Attached Figure Description

[0020] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 A flowchart illustrating an online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant, provided as an embodiment of the present invention; Figure 2 A schematic diagram of a module for an intelligent lightning interceptor in a petrochemical plant area, provided as an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a computer device provided in one embodiment of the present invention. Detailed Implementation

[0022] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of the intelligent lightning interceptor and online grounding resistance measurement method for petrochemical plants proposed according to the present invention.

[0023] In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments may be combined in any suitable form.

[0024] In the description of the embodiments of the present invention, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present invention, "multiple" means two or more.

[0025] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.

[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0027] The embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art will recognize that, with technological advancements and the emergence of new scenarios, the technical solutions provided by the embodiments of the present invention are also applicable to similar technical problems.

[0028] This invention provides a specific implementation method for an intelligent lightning interceptor and an online grounding resistance measurement method used in petrochemical plants. This method is applicable to scenarios involving intelligent lightning interceptors and online grounding resistance measurement. In this scenario, the intelligent lightning interceptor includes a lightning detection module, a first determination module, a second determination module, and a correction measurement module, all four modules being interconnected. The intelligent lightning interceptor activates when a lightning threat occurs and discharges the lightning energy.

[0029] The following description, in conjunction with the accompanying drawings, details the specific scheme of the intelligent lightning interceptor and online grounding resistance measurement method for petrochemical plants provided by this invention.

[0030] Please see Figure 1 The diagram illustrates a flowchart of an online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant area, according to an embodiment of the present invention. The method includes the following steps: Step S100: Obtain the environmental noise, electric field strength above the petrochemical plant area, and current in the historical monitoring data of the petrochemical plant area for the number of days with lightning, and for the number of days without lightning, respectively.

[0031] The electric field strength above the petrochemical plant area is monitored in real time by an atmospheric electric field meter, and electromagnetic pulse signals of cloud flashes or ground flashes are captured in real time, and information such as location and intensity is recorded.

[0032] The grounding resistance value is obtained using an online grounding resistance detector. An excitation signal with a frequency spectrum of 10kHz-10MHz is injected using a broadband pulse generator.

[0033] The current waveform during the injection process was measured using a high-frequency Rogowski coil.

[0034] The transient impedance value of the grounding grid is acquired by a differential voltage probe.

[0035] Intelligent lightning interceptors attenuate the energy of lightning through lightning protection devices and energy diversion systems.

[0036] Currently, the power frequency injection method typically uses 75Hz or 125Hz AC current for injection. However, due to the large harmonic electromagnetic fields in petrochemical plant areas and the changes in soil electrochemical properties, injecting a fixed-frequency AC current may lead to distortion in the subsequent calculation of grounding resistance values.

[0037] Therefore, during each measurement process of the online grounding resistance tester, 200ms of ambient noise is captured by a high-speed ADC.

[0038] Step S200: Combining the characteristics of the interference peaks in the environmental noise during the lightning process and the electric field strength, determine the environmental complexity around the lightning process; based on the environmental complexity and the discharge capacity value of the intelligent lightning interceptor, determine the degree of deviation of the injection frequency for the number of days with lightning; correct the actual injection frequency by the degree of deviation of the injection frequency for the number of days with lightning, and obtain the effective injection frequency value for the number of days with lightning.

[0039] Since electromagnetic interference in petrochemical plant areas is generally higher than 5V, in this embodiment of the invention, peaks in the captured environmental noise spectrum with amplitudes greater than 5V are identified as interference peaks. Then, the number of interference peaks and the amplitude of each interference peak are obtained.

[0040] First, the degree of environmental noise interference is determined by analyzing the characteristics of interference peaks in the environmental noise during a lightning strike.

[0041] Suppose that the historical days measured in the historical monitoring data of the petrochemical plant area total... There was lightning in the sky, and a total of No lightning occurred on day m. Then, for the monitoring data on day m, which did experience lightning, we first determine the number of lightning strikes during the measurement process on day m, assuming a total of R lightning strikes. For the r-th lightning strike, the environmental noise 400 milliseconds (ms) prior to its occurrence is recorded as the reference environmental noise during the r-th lightning strike.

[0042] The number and amplitude of interference peaks in the environmental noise during a lightning strike are obtained. The difference between the amplitude of the interference peak and a preset interference threshold is calculated for each lightning strike, serving as the interference amplitude difference. The degree of interference is determined by combining the frequency of interference peak occurrences and the interference amplitude difference; wherein the interference degree is a normalized value. In this embodiment, the preset interference threshold is set to 5. This threshold is set to 5 because electromagnetic interference in petrochemical plant areas is generally higher than 5V, which can also be understood as 5 being a baseline for the interference peak. In this embodiment, the amplitude of the interference peak is set to the magnitude of the environmental noise corresponding to the peak of the interference peak.

[0043] In some embodiments, the formula for calculating the level of environmental noise interference is: ;in, The interference level of environmental noise during the r-th lightning strike monitored on the m-th day after the lightning strike; norm is the normalization function; The number of interference peaks in the reference ambient noise corresponding to the r-th lightning event monitored on the m-th day when lightning occurs on the m-th day can also be understood as the number of times the interference peaks appear. The mean amplitude of the interference peak in the reference ambient noise corresponding to the r-th lightning event monitored on the m-th day when lightning occurs on the m-th day; This represents the interference amplitude difference corresponding to the r-th lightning event detected on the m-th day when lightning occurs. In this embodiment of the invention, the normalization function can be a linear normalization function or a maximum / minimum value normalization function.

[0044] The degree of interference from environmental noise The larger the value, the greater the environmental noise interference during the r-th lightning strike monitored on day m. Then, the environmental complexity during the r-th lightning strike on day m is determined based on the electric field strength value measured by the atmospheric electric field meter over the petrochemical plant area during the corresponding time period. Alternatively, it can be understood as combining the degree of interference and the electric field strength to determine the environmental complexity during the lightning strike.

[0045] Specifically, the product of the interference level and the electric field strength is normalized, and the normalized result is used as the environmental complexity of the surrounding environment during the lightning strike.

[0046] A higher environmental complexity value indicates greater environmental complexity surrounding the r-th lightning strike monitored on day m. Therefore, greater environmental complexity during the r-th lightning strike on day m significantly reduces the accuracy of grounding resistance measurements, making the accuracy of online grounding resistance measurements crucial.

[0047] Because grounding resistance exhibits a nonlinear transient change when struck by lightning, impulse grounding resistance is generated. The measurement accuracy of impulse grounding resistance directly determines the effectiveness of lightning protection. Therefore, the lower the environmental complexity value and the less complex the surrounding environment, the better the current discharge effect of the corresponding smart lightning interceptor. Conversely, the higher the environmental complexity value and the more complex the surrounding environment, the worse the current discharge effect of the corresponding smart lightning interceptor.

[0048] First, based on the environmental complexity and the discharge capacity of the intelligent lightning interceptor, the effectiveness of its discharge is determined. It should be noted that the discharge capacity of the intelligent lightning interceptor can be obtained using the energy absorption calculation method published in the reference entitled "Optimization Design and Simulation Verification Research of Lightning Protection System for Intelligent Substations". The formula for this discharge capacity value E is: ;in, This refers to the capacitor voltage of the intelligent lightning interceptor; For the capacitor current of the intelligent lightning interceptor, For the residual voltage of the intelligent lightning interceptor, This is the equivalent series resistance of the intelligent lightning interceptor.

[0049] The discharge capacity value of the intelligent lightning interceptor is normalized; the difference between the environmental complexity and the normalized discharge capacity value is calculated, and the difference is negatively correlated and normalized to obtain the discharge effectiveness of the intelligent lightning interceptor.

[0050] In this embodiment of the invention, a negative correlation normalization mapping of the difference is achieved by using a natural constant as the base and the negative of the difference between the environmental complexity and the normalized discharge capacity value as the exponent. The result value obtained after the negative correlation normalization mapping is used as the discharge effectiveness of the intelligent lightning interceptor.

[0051] In some embodiments, the formula for calculating the effectiveness of the leakage is: ;in, The effective discharge of environmental noise during the r-th lightning event monitored on the m-th day after the lightning strike; exp is an exponential function with the natural constant as the base. The discharge capacity value of the intelligent lightning interceptor during the r-th lightning event monitored on the m-th day after the lightning strike.

[0052] in, The smaller the value, the less complex the environment and the greater the discharge capacity. This corresponds to a greater discharge effectiveness of the intelligent lightning interceptor during the r-th lightning strike in the m-th monitoring period.

[0053] Then, the discharge effectiveness of the intelligent lightning interceptor during each lightning event in the monitoring process on day m after the lightning strike is calculated. If the calculated... A smaller value indicates a potential significant deviation in the measurement of the impulse grounding resistance during the r-th lightning strike in the monitoring process on day m. Therefore, it suggests a possible deviation in the injection frequency during the monitoring process on day m.

[0054] Based on the effectiveness of the discharge, lightning events with poor discharge control were screened out. Specifically, multiple lightning events occurring during the monitoring process on day m were statistically analyzed. A value less than 0.5 indicates a lightning event with poor discharge control, denoted as a lightning event with poor discharge control. Let T events be detected. Since lightning events are continuous, multiple lightning events occur consecutively during the monitoring on day m. Therefore, the smaller the interval between these T lightning events, the larger the deviation in the injection frequency during the monitoring on day m.

[0055] Furthermore, based on the proportion and time interval of lightning processes with poor discharge control in the current day, the degree of injection frequency deviation for the number of days with lightning is determined. Specifically: for the number of days with lightning, a negative correlation mapping is performed on the time interval of lightning processes with poor discharge control within a day to obtain a deviation coefficient; combining the deviation coefficient and the proportion of lightning processes with poor discharge control, the degree of injection frequency deviation for the number of days with lightning is determined; wherein, both the deviation coefficient and the proportion of lightning processes with poor discharge control are positively correlated with the degree of injection frequency deviation for the number of days with lightning.

[0056] In some embodiments, the formula for calculating the degree of injection frequency deviation of the number of days with lightning is: ;in, The degree of injection frequency deviation on the m-th day after a lightning strike; T is the number of lightning strikes with poor discharge control on the m-th day after a lightning strike. The number of all lightning events that occurred on day m in which lightning occurred; The percentage of lightning events with poor discharge control on day m during which lightning occurred; The time interval between the occurrence of lightning events due to poor discharge control on the m-th day after the lightning strike; This is the deviation coefficient corresponding to the m-th day after the lightning strike.

[0057] The larger the proportion of lightning events with poor discharge control in the number of days with lightning, and the smaller the time interval between lightning events with poor discharge control on day m, the more lightning events with poor discharge control occur during the monitoring of day m with lightning, and the closer the time interval between these events. This will lead to a greater deviation in the injection frequency during the monitoring of day m.

[0058] Furthermore, it is possible to calculate the number of days with lightning in historical monitoring data. The degree of deviation of the injection frequency corresponding to the number of days with lightning; furthermore, by using the degree of deviation of the injection frequency of the number of days with lightning, the actual injection frequency is corrected to obtain the effective injection frequency value of the number of days with lightning.

[0059] The formula for calculating the effective injection frequency value of the number of days with lightning is as follows: ; in, The effective injection frequency value for the number of days with lightning; The number of days during which lightning occurred; The degree of injection frequency deviation corresponding to the m-th day out of the days in which lightning occurred; This is the sum of the injection frequency deviations corresponding to all days with lightning occurrences; This represents the average actual injection frequency on day m out of the days in which lightning occurred.

[0060] Step S300: Analyze the current fluctuations in the number of days without lightning, correct the actual injection frequency, and obtain the effective injection frequency value for the number of days without lightning.

[0061] The historical monitoring data of the petrochemical plant area contains a total of No lightning was observed during the day's monitoring. Therefore, through analysis of this... The current waveform during the injection process is used to determine this. The effectiveness of the injection frequency during the monitoring process on day d, i.e., the effective injection frequency value, is determined. Specifically, during the monitoring process on day d when no lightning occurred, the absolute value of the maximum difference between the fluctuation amplitudes of the current waveform during the monitoring process on day d when no lightning occurred is calculated and denoted as the current fluctuation amplitude range. Then, the mean slope of the fitted curve of the current waveform during the monitoring process on day d when no lightning occurred is calculated, and denoted as the current sensitivity. The amplitude of the current fluctuation is extremely poor. The smaller the value, the greater the current sensitivity. The closer the value is to 0, the higher the stability of the current waveform during the monitoring process on day d when no lightning occurred. It should be noted that the current waveform is a waveform diagram composed of current data, with one waveform current diagram corresponding to each day.

[0062] Therefore, the effectiveness of current fluctuations during days without lightning is determined based on the current amplitude and the slope of the fitted curve corresponding to the current waveform. Both the current amplitude and the slope of the fitted curve are negatively correlated with the effectiveness. It should be noted that the current amplitude is characterized by the range of current fluctuation amplitude, and the current sensitivity is characterized by the slope of the fitted curve.

[0063] In some embodiments, the formula for calculating the effectiveness of current fluctuations corresponding to the number of days without lightning is as follows: ;in, The effectiveness of the current fluctuation on day d, when no lightning occurred; The range of current fluctuation amplitude on day d, when no lightning occurred; The current sensitivity is given on day d when no lightning strike occurs.

[0064] It should be noted that 0.1 was added to the denominator when calculating the validity to avoid the situation where the denominator is 0, which would render the ratio meaningless.

[0065] Furthermore, the effectiveness of the current fluctuations corresponding to each day during the days without lightning can be calculated. The higher the effectiveness value, the more appropriate the injection frequency value is for the days without lightning, and this more appropriate actual injection frequency makes the current fluctuations more stable during the injection process.

[0066] Furthermore, the actual injection frequency is corrected by using the proportion of effectiveness as a weight to obtain the effective injection frequency value for the number of days without lightning.

[0067] In some embodiments, the effective injection frequency value of the number of days without lightning is... The calculation formula is: ;in, The number of days without lightning; The effectiveness of the current fluctuation on day d, when no lightning occurred; The sum of the effective extent of current fluctuations on all days in which no lightning occurred; The percentage of effective current fluctuations on day d when no lightning occurred; The average value of the actual injection frequency on day d when no lightning occurred.

[0068] Step S400: Combine the effective injection frequency values ​​corresponding to the number of days with lightning and the number of days without lightning to obtain the corrected injection frequency; measure the online grounding resistance based on the corrected injection frequency.

[0069] During the measurement of grounding resistance in petrochemical plant areas, both excessively high and low injection frequencies can lead to signal attenuation or high-resistance leakage. Therefore, subsequent injection frequency adjustments must be made based on the effective injection frequency value during lightning strikes.

[0070] First, the difference between the effective injection frequency values ​​corresponding to the number of days with lightning and the number of days without lightning is calculated, and the difference is negatively correlated to obtain the adaptive adjustment coefficient. By combining the adaptive adjustment coefficient and the preset frequency adjustment coefficient, the optimal adjustment coefficient is obtained; The sum of the effective injection frequency value corresponding to the number of days with lightning and the optimal adjustment coefficient is used as the corrected injection frequency.

[0071] In some embodiments, the modified injection frequency The calculation formula is: ;in, The effective injection frequency value corresponding to the number of days with lightning; The effective injection frequency value corresponding to the number of days without lightning; This is the preset frequency adjustment coefficient; For adaptive adjustment coefficients; This is the optimal adjustment factor.

[0072] In this embodiment of the invention, the preset frequency adjustment coefficient is set to 0.2, and the range of the preset frequency adjustment coefficient is 0.1 to 0.5. The preset frequency adjustment coefficient can be set by the implementer based on the actual situation or actual experience.

[0073] in, The smaller the value, the closer the effective injection frequency values ​​are to those in the monitoring process during days without lightning and days with lightning. This indicates better stability of the current fluctuation graph during the injection process, and the injection frequency can be appropriately increased in subsequent adjustments.

[0074] After obtaining the corrected injection frequency, the online grounding resistance is measured based on the injection frequency value. Then, when lightning occurs, the threat level of lightning is determined by monitoring the instantaneous impedance, and the lightning arrester is activated by the intelligent lightning interceptor to discharge the lightning.

[0075] Please see Figure 2 , Figure 2 This invention provides a schematic diagram of a smart lightning interceptor for use in a petrochemical plant area, comprising the following modules: The lightning detection module is used to acquire the environmental noise, electric field strength above the petrochemical plant area, and current in the historical monitoring data of the petrochemical plant area on the days when lightning occurred; The first processing module is used to determine the environmental complexity during a lightning strike by combining the characteristics of the interference peaks in the environmental noise and the electric field strength during the lightning strike; based on the environmental complexity and the discharge capacity value of the intelligent lightning interceptor, it determines the degree of deviation of the injection frequency for the number of days with lightning strikes; and corrects the actual injection frequency by the degree of deviation of the injection frequency for the number of days with lightning strikes to obtain the effective injection frequency value for the number of days with lightning strikes. The second processing module is used to analyze the current fluctuations in the number of days without lightning, correct the actual injection frequency, and obtain the effective injection frequency value for the number of days without lightning. The correction measurement module is used to combine the effective injection frequency values ​​corresponding to the number of days with lightning and the number of days without lightning to obtain the corrected injection frequency; and to measure the online grounding resistance based on the corrected injection frequency.

[0076] Alternatively, the transmission medium may be a wired link, such as, but not limited to, coaxial cable, fiber optic cable and digital subscriber line, or a wireless link, such as, but not limited to, wireless Fidelity (WIFI), Bluetooth and mobile device networks.

[0077] It should be noted that the device provided in the above embodiments is only an example of the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device can be divided into different functional modules to complete all or part of the functions described above.

[0078] Figure 3 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. For example, as shown... Figure 3 As shown, the computer device 500 includes: a memory 510, a processor 520, and a computer program 530 stored in the memory 510 and running on the processor 520. When the processor 520 executes the computer program 530, the computer device can execute the online grounding resistance measurement method for any of the smart lightning interceptors for petrochemical plants described above.

[0079] Furthermore, embodiments of the present invention also protect an apparatus that may include a memory and a processor, wherein the memory stores executable program code, and the processor is used to call and execute the executable program code to perform the online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant area provided by embodiments of the present invention.

[0080] In this embodiment of the invention, the device can be divided into functional modules according to the above method example. For example, each module can correspond to a separate function, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware. It should be noted that the module division in this embodiment is illustrative and is only a logical functional division. In actual implementation, there may be other division methods.

[0081] When each module is divided according to its function, the device may also include a signal uploading module, a determination module, and an adjustment module. It should be noted that all relevant content of each step involved in the above method embodiments can be referenced from the functional descriptions of the corresponding functional modules, and will not be repeated here.

[0082] It should be understood that the apparatus provided in this embodiment of the invention is used to perform the above-described online grounding resistance measurement method for intelligent lightning interceptors in petrochemical plants, and therefore can achieve the same effect as the above-described implementation method.

[0083] When using integrated units, the device may include a processing module and a storage module. When applied to a device, the processing module can be used to control and manage the device's operations. The storage module can be used to support the device in executing program code, etc. The processing module may be a processor or a controller, which can implement or execute various exemplary logic blocks, modules, and circuits as described in this disclosure. The processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of Digital Signal Processing (DSP) and a microprocessor, etc., and the storage module may be a memory.

[0084] In addition, the device provided in the embodiments of the present invention may specifically be a chip, component or module. The chip may include a connected processor and a memory. The memory is used to store instructions. When the processor calls and executes the instructions, the chip can execute the online grounding resistance measurement method for the intelligent lightning interceptor in the petrochemical plant area provided in the above embodiments.

[0085] This invention also provides a computer-readable storage medium storing computer program code. When the computer program code is run on a computer, the computer executes the aforementioned method steps to implement the online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant area provided in the above embodiments.

[0086] This invention also provides a computer program product that, when run on a computer, causes the computer to perform the aforementioned steps to implement the online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant area provided in the above embodiments.

[0087] In this invention, the apparatus, computer-readable storage medium, computer program product, or chip provided in the embodiments are all used to execute the corresponding methods described above. Therefore, the beneficial effects they achieve can be referred to the beneficial effects in the corresponding methods described above, and will not be repeated here. Through the above description of the embodiments, those skilled in the art will understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In the embodiments provided by this invention, it should be understood that the disclosed apparatus and method can be implemented in other ways.

[0088] The device embodiments described above are merely illustrative. For example, the division of modules or units is only a logical functional division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0089] It should also be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0090] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0091] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0092] The above content is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the protection scope of the present invention.

Claims

1. A method for measuring the online grounding resistance of an intelligent lightning interceptor used in a petrochemical plant, characterized in that, The method includes the following steps: The environmental noise, electric field strength above the petrochemical plant area, and current were obtained from the historical monitoring data of the petrochemical plant area on the days when lightning occurred, respectively. By combining the characteristics of interference peaks and electric field strength in the environmental noise during lightning strikes, the environmental complexity surrounding the lightning strikes is determined. Based on the environmental complexity and the discharge capacity of the intelligent lightning interceptor, the degree of deviation of the injection frequency for the number of days with lightning strikes is determined. By correcting the actual injection frequency based on the degree of deviation of the injection frequency for the number of days with lightning strikes, the effective injection frequency value for the number of days with lightning strikes is obtained. By analyzing the current fluctuations during days without lightning strikes, the actual injection frequency is corrected to obtain the effective injection frequency value for days without lightning strikes. The corrected injection frequency is obtained by combining the effective injection frequency values ​​corresponding to the number of days with and without lightning; the online grounding resistance is then measured based on the corrected injection frequency.

2. The online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant area according to claim 1, characterized in that, The determination of the environmental complexity during a lightning strike, by combining the characteristics of interference peaks in the environmental noise and the electric field intensity, includes: The degree of interference of the environmental noise is determined by identifying the characteristics of the interference peaks in the environmental noise during a lightning strike; and the environmental complexity during a lightning strike is determined by combining the degree of interference with the electric field strength.

3. The online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant area according to claim 2, characterized in that, The determination of the degree of environmental noise interference based on the characteristics of interference peaks in environmental noise during a lightning strike includes: Obtain the number of interference peaks and the amplitude of the interference peaks in the environmental noise during the lightning strike process; The difference between the mean amplitude of the interference peak in the environmental noise during each lightning strike and the preset interference threshold is calculated as the interference amplitude difference. The degree of environmental noise interference is determined by combining the frequency of interference peaks and the difference in interference amplitude; wherein the degree of interference is a normalized value.

4. The online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant area according to claim 2, characterized in that, The determination of the environmental complexity during a lightning strike, combining the interference level and the electric field strength, includes: The product of the interference level and the electric field strength is normalized, and the normalized result is used as the environmental complexity of the surrounding environment during the lightning strike.

5. The online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant area according to claim 1, characterized in that, The degree of deviation in the injection frequency for determining the number of days with lightning strikes, based on environmental complexity and the discharge capacity of the intelligent lightning interceptor, includes: Based on environmental complexity and the discharge capacity value of the intelligent lightning interceptor, the discharge effectiveness of the intelligent lightning interceptor is determined; based on the discharge effectiveness, lightning occurrence processes with poor discharge control are screened out; based on the proportion and time interval of the lightning occurrence processes with poor discharge control in the lightning occurrence processes, the degree of injection frequency deviation of the number of days with lightning is determined.

6. The online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant area according to claim 5, characterized in that, The determination of the discharge effectiveness of the intelligent lightning interceptor based on environmental complexity and its discharge capacity value includes: The discharge capacity value of the intelligent lightning interceptor is normalized. The difference between the environmental complexity and the normalized discharge capacity value is calculated, and the difference is subjected to negative correlation normalization mapping to obtain the discharge effectiveness of the intelligent lightning interceptor.

7. The online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant area according to claim 5, characterized in that, The determination of the injection frequency deviation degree of the number of days with lightning occurrence based on the proportion and time interval of the lightning occurrence process in the total lightning occurrence process, according to the aforementioned discharge control difference, includes: For the number of days with lightning, a negative correlation mapping is performed on the time interval of the lightning process with poor discharge control within a day to obtain the deviation coefficient; By combining the deviation coefficient and the proportion of lightning-causing processes with poor discharge control, the degree of deviation in the injection frequency of the number of days with lightning is determined; wherein, both the deviation coefficient and the proportion of lightning-causing processes with poor discharge control are positively correlated with the degree of deviation in the injection frequency of the number of days with lightning.

8. The online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant area according to claim 1, characterized in that, The analysis of current fluctuations during days without lightning strikes corrects the actual injection frequency, yielding an effective injection frequency value for those days without lightning strikes, including: The effectiveness of current fluctuations during days without lightning is determined based on the current amplitude and the slope of the fitted curve corresponding to the current waveform graph. Both the current amplitude and the slope of the fitted curve are negatively correlated with the effectiveness. The current waveform graph is a waveform graph composed of current data. Using the percentage of effectiveness as a weight, the actual injection frequency is corrected to obtain the effective injection frequency value for the number of days without lightning.

9. The online grounding resistance measurement method for an intelligent lightning interceptor in a petrochemical plant area according to claim 1, characterized in that, The corrected injection frequency is obtained by combining the effective injection frequency values ​​corresponding to the number of days with lightning and the number of days without lightning, including: The difference between the effective injection frequency values ​​corresponding to the number of days with lightning and the number of days without lightning is calculated, and the difference is negatively correlated to obtain the adaptive adjustment coefficient. By combining the adaptive adjustment coefficient and the preset frequency adjustment coefficient, the optimal adjustment coefficient is obtained; The sum of the effective injection frequency value corresponding to the number of days with lightning and the optimal adjustment coefficient is used as the corrected injection frequency.

10. A smart lightning interceptor for petrochemical plant areas, characterized in that, This intelligent lightning interceptor includes the following modules: The lightning detection module is used to acquire the environmental noise, electric field strength above the petrochemical plant area, and current in the historical monitoring data of the petrochemical plant area on the days when lightning occurred; The first processing module is used to determine the environmental complexity during a lightning strike by combining the characteristics of the interference peaks in the environmental noise and the electric field strength during the lightning strike; and to determine the degree of deviation of the injection frequency for the number of days with lightning strikes based on the environmental complexity and the discharge capacity value of the intelligent lightning interceptor. By correcting the actual injection frequency based on the degree of deviation in the injection frequency of the number of days with lightning, the effective injection frequency value for the number of days with lightning is obtained. The second processing module is used to analyze the current fluctuations in the number of days without lightning, correct the actual injection frequency, and obtain the effective injection frequency value for the number of days without lightning. The correction measurement module is used to combine the effective injection frequency values ​​corresponding to the number of days with lightning and the number of days without lightning to obtain the corrected injection frequency; The online grounding resistance was measured based on the corrected injection frequency.

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